From the 1 of 4 linked papers with an AI index.
4 papers
Auditable Context-Aware HFMD Forecasting with Structured LLM Agents
Joongwon Chae, Runming Wang, Chen Xiong +5
The paper introduces a neuro‑symbolic system that uses two LLM‑driven agents to interpret contextual factors (e.g., school calendars, weather, policy reports) and combine them with…
Fairshare Data Pricing via Data Valuation for Large Language Models
Luyang Zhang, Cathy Jiao, Beibei Li +1
Training data is the backbone of large language models (LLMs), yet today's data markets often operate under exploitative pricing -- sourcing data from marginalized groups with litt…
DATE-LM: Benchmarking Data Attribution Evaluation for Large Language Models
Cathy Jiao, Yijun Pan, Emily Xiao +6
Data attribution methods quantify the influence of training data on model outputs and are becoming increasingly relevant for a wide range of LLM research and applications, includin…
On the Feasibility of In-Context Probing for Data Attribution
Cathy Jiao, Gary Gao, Aditi Raghunathan +1
Data attribution methods are used to measure the contribution of training data towards model outputs, and have several important applications in areas such as dataset curation and…